7886 Repositories
Python machine-learning-on-source-code Libraries
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum
CO-PILOT CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum, NeurIPS 2021, Shuang Ao, Tianyi Zhou, Guodong Long, Qingh
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
Adversrial Machine Learning Benchmarks This code belongs to the papers: Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness? Det
Application of the L2HMC algorithm to simulations in lattice QCD.
l2hmc-qcd 📊 Slides Recent talk on Training Topological Samplers for Lattice Gauge Theory from the Machine Learning for High Energy Physics, on and of
Code for the TPAMI paper: "Syntax Customized Video Captioning by Imitating Exemplar Sentences"
Syntax-Customized-Video-Captioning Code for the TPAMI paper: "Syntax Customized Video Captioning by Imitating Exemplar Sentences". This is my second w
Code for the paper "Controllable Video Captioning with an Exemplar Sentence"
SMCG Code for the paper "Controllable Video Captioning with an Exemplar Sentence" Introduction We investigate a novel and challenging task, namely con
Source code and dataset of the paper "Contrastive Adaptive Propagation Graph Neural Networks forEfficient Graph Learning"
CAPGNN Source code and dataset of the paper "Contrastive Adaptive Propagation Graph Neural Networks forEfficient Graph Learning" Paper URL: https://ar
Deep learning model for EEG artifact removal
DeepSeparator Introduction Electroencephalogram (EEG) recordings are often contaminated with artifacts. Various methods have been developed to elimina
Official PyTorch implementation of our AAAI22 paper: TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework via Self-Supervised Multi-Task Learning. Code will be available soon.
Official-PyTorch-Implementation-of-TransMEF Official PyTorch implementation of our AAAI22 paper: TransMEF: A Transformer-Based Multi-Exposure Image Fu
Python implementation of Bayesian optimization over permutation spaces.
Bayesian Optimization over Permutation Spaces This repository contains the source code and the resources related to the paper "Bayesian Optimization o
An open source library for face detection in images. The face detection speed can reach 1000FPS.
libfacedetection This is an open source library for CNN-based face detection in images. The CNN model has been converted to static variables in C sour
TC-GNN with Pytorch integration
TC-GNN (Running Sparse GNN on Dense Tensor Core on Ampere GPU) Cite this project and paper. @inproceedings{TC-GNN, title={TC-GNN: Accelerating Spars
Code for "The Box Size Confidence Bias Harms Your Object Detector"
The Box Size Confidence Bias Harms Your Object Detector - Code Disclaimer: This repository is for research purposes only. It is designed to maintain r
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Sacred Every experiment is sacred Every experiment is great If an experiment is wasted God gets quite irate Sacred is a tool to help you configure, or
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
sklearn-evaluation Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking, and Jupyter notebook analysis. Suppo
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
AI Fairness 360 (AIF360) The AI Fairness 360 toolkit is an extensible open-source library containg techniques developed by the research community to h
Adaptive: parallel active learning of mathematical functions
adaptive Adaptive: parallel active learning of mathematical functions. adaptive is an open-source Python library designed to make adaptive parallel fu
PennyLane is a cross-platform Python library for differentiable programming of quantum computers
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural ne
QML: A Python Toolkit for Quantum Machine Learning
QML is a Python2/3-compatible toolkit for representation learning of properties of molecules and solids.
[NeurIPS 2021] ORL: Unsupervised Object-Level Representation Learning from Scene Images
Unsupervised Object-Level Representation Learning from Scene Images This repository contains the official PyTorch implementation of the ORL algorithm
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images This repository contains the implementation of our paper MetaAvatar: Learni
Official PyTorch implementation of "Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition" in AAAI2022.
AimCLR This is an official PyTorch implementation of "Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Reco
Code for paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting
Decoupled Spatial-Temporal Graph Neural Networks Code for our paper: Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.
Lib for create and show QRCode to PIX, you can show this code in another applications for payment by final consumer.
Biblioteca para a geração de codigos QR (BRCode como chamados na documentação do BACEN) a fins de facilitar a exibição para pagamentos ao consumidor.
Code repository for "Reducing Underflow in Mixed Precision Training by Gradient Scaling" presented at IJCAI '20
Reducing Underflow in Mixed Precision Training by Gradient Scaling This project implements the gradient scaling method to improve the performance of m
Python code to remove empty folders from Windows/Android.
Empty Folder Cleaner is a program that deletes empty folders from your computer or device and removes clutter to improve performance. It supports only windows and android for now.
Code for "Long-tailed Distribution Adaptation"
Long-tailed Distribution Adaptation (Accepted in ACM MM2021) This project is built upon BBN. Installation pip install -r requirements.txt Usage Traini
No Code AI/ML platform
NoCodeAIML No Code AI/ML platform - Community Edition Video credits: Uday Kiran Typical No Code AI/ML Platform will have features like drag and drop,
Official Pytorch implementation for 2021 ICCV paper "Learning Motion Priors for 4D Human Body Capture in 3D Scenes" and trained models / data
Learning Motion Priors for 4D Human Body Capture in 3D Scenes (LEMO) Official Pytorch implementation for 2021 ICCV (oral) paper "Learning Motion Prior
OpenDILab Multi-Agent Environment
Go-Bigger: Multi-Agent Decision Intelligence Environment GoBigger Doc (ä¸æ–‡ç‰ˆ) Ongoing 2021.11.13 We are holding a competition —— Go-Bigger: Multi-Agent
Research code for the paper "Fine-tuning wav2vec2 for speaker recognition"
Fine-tuning wav2vec2 for speaker recognition This is the code used to run the experiments in https://arxiv.org/abs/2109.15053. Detailed logs of each t
A Chinese to English Neural Model Translation Project
ZH-EN NMT Chinese to English Neural Machine Translation This project is inspired by Stanford's CS224N NMT Project Dataset used in this project: News C
Implementation of NÃœWA, state of the art attention network for text to video synthesis, in Pytorch
NÃœWA - Pytorch (wip) Implementation of NÃœWA, state of the art attention network for text to video synthesis, in Pytorch. This repository will be popul
Let's Git - Version Control & Open Source Homework
Let's Git - Version Control & Open Source Homework Welcome to this homework for our MOOC: Let's Git! We hope you will learn a lot and have fun working
Generate payloads that force authentication against an attacker machine
Hashgrab Generates scf, url & lnk payloads to put onto a smb share. These force authentication to an attacker machine in order to grab hashes (for exa
A Python Sudoku Game Made with Pygame.
A Python Sudoku Game Made with Pygame. A Begginer Aimed at Learning Git, This Game Uses a Puzzle Generator Made by RutledgePaulV, Link to his Repo:
Code for the Paper "Diffusion Models for Handwriting Generation"
Code for the Paper "Diffusion Models for Handwriting Generation"
DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.
DiffWave DiffWave is a fast, high-quality neural vocoder and waveform synthesizer. It starts with Gaussian noise and converts it into speech via itera
Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Diffusion Probabilistic Models This repository provides a reference implementation of the method described in the paper: Deep Unsupervised Learning us
Code for paper "Adversarial score matching and improved sampling for image generation"
Adversarial score matching and improved sampling for image generation This repo contains the official implementation for the ICLR 2021 paper Adversari
Scalable machine learning based time series forecasting
mlforecast Scalable machine learning based time series forecasting. Install PyPI pip install mlforecast Optional dependencies If you want more functio
OpenCodeBlocks an open-source tool for modular visual programing in python
OpenCodeBlocks OpenCodeBlocks is an open-source tool for modular visual programing in python ! Although for now the tool is in Beta and features are c
PyTorch toolkit for biomedical imaging
farabio is a minimal PyTorch toolkit for out-of-the-box deep learning support in biomedical imaging. For further information, see Wikis and Docs.
A collection of resources and papers on Diffusion Models, a darkhorse in the field of Generative Models
This repository contains a collection of resources and papers on Diffusion Models and Score-based Models. If there are any missing valuable resources
Neural HMMs are all you need (for high-quality attention-free TTS)
Neural HMMs are all you need (for high-quality attention-free TTS) Shivam Mehta, Éva Székely, Jonas Beskow, and Gustav Eje Henter This is the official
Model-based Reinforcement Learning Improves Autonomous Racing Performance
Racing Dreamer: Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars In this work, we propose to learn a racing contro
Source code for our paper "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures"
Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures Code for the Multiplex Molecular Graph Neural Network (M
Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M frames. 🌈
Rainbow 🌈 An implementation of Rainbow DQN which reaches a median HNS of 205.7 after only 10M frames (the original Rainbow from Hessel et al. 2017 re
The repo contains the code to train and evaluate a system which extracts relations and explanations from dialogue.
The repo contains the code to train and evaluate a system which extracts relations and explanations from dialogue. How do I cite D-REX? For now, cite
PyTorch implementation of Decoupling Value and Policy for Generalization in Reinforcement Learning
PyTorch implementation of Decoupling Value and Policy for Generalization in Reinforcement Learning
Code for EMNLP 2021 paper: "Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training"
SCAPT-ABSA Code for EMNLP2021 paper: "Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training" Overvie
Code to reproduce the results in "Visually Grounded Reasoning across Languages and Cultures", EMNLP 2021.
marvl-code [WIP] This is the implementation of the approaches described in the paper: Fangyu Liu*, Emanuele Bugliarello*, Edoardo M. Ponti, Siva Reddy
Automatic learning-rate scheduler
AutoLRS This is the PyTorch code implementation for the paper AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly published
[NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
Efficient Graph Similarity Computation - (EGSC) This repo contains the source code and dataset for our paper: Slow Learning and Fast Inference: Effici
This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness This repository provides the code for the paper On Interaction B
Single-Stage Instance Shadow Detection with Bidirectional Relation Learning (CVPR 2021 Oral)
Single-Stage Instance Shadow Detection with Bidirectional Relation Learning (CVPR 2021 Oral) Tianyu Wang*, Xiaowei Hu*, Chi-Wing Fu, and Pheng-Ann Hen
Learning to Draw: Emergent Communication through Sketching
Learning to Draw: Emergent Communication through Sketching This is the official code for the paper "Learning to Draw: Emergent Communication through S
PyTorch implementation of Off-policy Learning in Two-stage Recommender Systems
Off-Policy-2-Stage This repo provides a PyTorch implementation of the MovieLens experiments for the following paper: Off-policy Learning in Two-stage
A Python script which randomly chooses and prints a file from a directory.
___ ____ ____ _ __ ___ / _ \ | _ \ | _ \ ___ _ __ | '__| / _ \ | |_| || | | || | | | / _ \| '__| | | | __/ | _ || |_| || |_| || __
Define requirements inside your python code and scriptenv makes them ready to import.
scriptenv Define requirements inside your python code and scriptenv makes them ready to import. Getting Started Install scriptenv $ pip install script
Python code for working with NFL play by play data.
nfl_data_py nfl_data_py is a Python library for interacting with NFL data sourced from nflfastR, nfldata, dynastyprocess, and Draft Scout. Includes im
Color box that provides various colors‘ rgb decimal code.
colorbox Color box that provides various colors‘ rgb decimal code
A GitHub Action that automatically reports your Advent of Code progress in a table in your README
Advent README Stars This action adds and maintains a stars report in your README based on your Advent of Code progress. Example Table 2021 Results Day
Brawl Stars open source server for v20
Laser Scratch Brawl Stars open source server for v20! Implemented Features Battle End Leaderboard Player Profile Lobby Info Menu Notifications Club Wa
Presentation and code files for the talk at PyCon Indonesia
pycon-indonesia Presentation and code files for the talk at PyCon Indonesia. Files used for the PyCon Indonesia presentation. [Directory Includes:] Be
Quick program made to generate alpha and delta tables for Hidden Markov Models
HMM_Calc Functions for generating Alpha and Delta tables from a Hidden Markov Model. Parameters: a: Matrix of transition probabilities. a[i][j] = a_{i
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels
PGDF This repo is the official implementation of our paper "Sample Prior Guided Robust Model Learning to Suppress Noisy Labels ". Citation If you use
Automatic links from code examples to reference documentation
sphinx-codeautolink Automatic links from Python code examples to reference documentation at the flick of a switch! sphinx-codeautolink analyses the co
This is the old code for bitcoin risk metric, the whole purpose form it is to help you DCA your investment according to bitcoin risk.
About The Project This is the old code for bitcoin risk metric, the whole purpose form it is to help you DCA your investment according to bitcoin risk
This is simply code for bitcoin fair value.
About The Project This is a code for bitcoin fair value, its simply exclude bubble data using RANSAC method, and then plot the results. Check youtube
Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)
A simple API for working with University of California, Irvine (UCI) Machine Learning (ML) repository Table of Contents Introduction About Page of the
Joint Detection and Identification Feature Learning for Person Search
Person Search Project This repository hosts the code for our paper Joint Detection and Identification Feature Learning for Person Search. The code is
Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)
Transfer Learning for Text Classification with Tensorflow Tensorflow implementation of Semi-supervised Sequence Learning(https://arxiv.org/abs/1511.01
​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
TextWorld A text-based game generator and extensible sandbox learning environment for training and testing reinforcement learning (RL) agents. Also ch
My solutions to Advent of Code 2021 (written in Python)
Advent of Code 2021 This repository contains my solutions for the 2021 edition of Advent of Code. Please do not expect perfectly polished solutions, m
torchbearer: A model fitting library for PyTorch
Note: We're moving to PyTorch Lightning! Read about the move here. From the end of February, torchbearer will no longer be actively maintained. We'll
A project to make Amazon Echo respond to sign language using your webcam
Making Alexa respond to Sign Language using Tensorflow.js Try the live demo Read the Blog Post on Tensorflow's Blog Coming Soon Watch the video This p
Train neural network for semantic segmentation (deep lab V3) with pytorch in less then 50 lines of code
Train neural network for semantic segmentation (deep lab V3) with pytorch in 50 lines of code Train net semantic segmentation net using Trans10K datas
Pipeline for training LSA models using Scikit-Learn.
Latent Semantic Analysis Pipeline for training LSA models using Scikit-Learn. Usage Instead of writing custom code for latent semantic analysis, you j
Aviatrix Controller 6.x before 6.5-1804.1922. Unrestricted upload of a file which allows an unauthenticated user to execute arbitrary code via directory traversal
CVE-2021-40870 Exploitation An issue was discovered in Aviatrix Controller 6.x before 6.5-1804.1922. Unrestricted upload of a file with a dangerous ty
Code for using and evaluating SpanBERT.
SpanBERT This repository contains code and models for the paper: SpanBERT: Improving Pre-training by Representing and Predicting Spans. If you prefer
SentAugment is a data augmentation technique for semi-supervised learning in NLP.
SentAugment SentAugment is a data augmentation technique for semi-supervised learning in NLP. It uses state-of-the-art sentence embeddings to structur
Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"
ERNIE Source code and dataset for "ERNIE: Enhanced Language Representation with Informative Entities" Reqirements: Pytorch=0.4.1 Python3 tqdm boto3 r
Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction"
To run a generation experiment (either conceptnet or atomic), follow these instructions: First Steps First clone, the repo: git clone https://github.c
Sorce code and datasets for "K-BERT: Enabling Language Representation with Knowledge Graph",
K-BERT Sorce code and datasets for "K-BERT: Enabling Language Representation with Knowledge Graph", which is implemented based on the UER framework. R
Source code for TACL paper "KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation".
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation Source code for TACL 2021 paper KEPLER: A Unified Model for Kn
Code for the ACL 2021 paper "Structural Guidance for Transformer Language Models"
Structural Guidance for Transformer Language Models This repository accompanies the paper, Structural Guidance for Transformer Language Models, publis
A single model that parses Universal Dependencies across 75 languages.
A single model that parses Universal Dependencies across 75 languages. Given a sentence, jointly predicts part-of-speech tags, morphology tags, lemmas, and dependency trees.
Research code for the paper "How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models"
Introduction This repository contains research code for the ACL 2021 paper "How Good is Your Tokenizer? On the Monolingual Performance of Multilingual
PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".
LXMERT: Learning Cross-Modality Encoder Representations from Transformers Our servers break again :(. I have updated the links so that they should wor
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
VL-BERT By Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai. This repository is an official implementation of the paper VL-BERT:
Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"
UNITER: UNiversal Image-TExt Representation Learning This is the official repository of UNITER (ECCV 2020). This repository currently supports finetun
Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part
VILLA: Vision-and-Language Adversarial Training This is the official repository of VILLA (NeurIPS 2020 Spotlight). This repository currently supports
[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
VirTex: Learning Visual Representations from Textual Annotations Karan Desai and Justin Johnson University of Michigan CVPR 2021 arxiv.org/abs/2006.06
Train Dense Passage Retriever (DPR) with a single GPU
Gradient Cached Dense Passage Retrieval Gradient Cached Dense Passage Retrieval (GC-DPR) - is an extension of the original DPR library. We introduce G
Toolkit for developing and maintaining ML models
modelkit Python framework for production ML systems. modelkit is a minimalist yet powerful MLOps library for Python, built for people who want to depl
Learn Python Regular Expressions step by step from beginner to advanced levels
Python re(gex)? Learn Python Regular Expressions step by step from beginner to advanced levels with hundreds of examples and exercises The book also i
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
DOC | Quick Start | ä¸æ–‡ Breaking News !! 🔥 🔥 🔥 OGB-LSC KDD CUP 2021 winners announced!! (2021.06.17) Super excited to announce our PGL team won TWO
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
Mask2Former: Masked-attention Mask Transformer for Universal Image Segmentation Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Ro
Code for the paper "Controllable Video Captioning with an Exemplar Sentence"
SMCG Code for the paper "Controllable Video Captioning with an Exemplar Sentence" Introduction We investigate a novel and challenging task, namely con
This is the code for our paper "Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text"
Iconary This is the code for our paper "Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text". It includes the